Software Alternatives & Reviews

Apache Beam VS Azure HDInsight

Compare Apache Beam VS Azure HDInsight and see what are their differences

Apache Beam logo Apache Beam

Apache Beam provides an advanced unified programming model to implement batch and streaming data processing jobs.

Azure HDInsight logo Azure HDInsight

Azure HDInsight is a managed Apache Hadoop cloud service that lets you run Apache Spark, Apache Hive, Apache Kafka, Apache HBase, and more.
  • Apache Beam Landing page
    Landing page //
    2022-03-31
  • Azure HDInsight Landing page
    Landing page //
    2023-02-26

Apache Beam videos

How to Write Batch or Streaming Data Pipelines with Apache Beam in 15 mins with James Malone

More videos:

  • Review - Best practices towards a production-ready pipeline with Apache Beam
  • Review - Streaming data into Apache Beam with Kafka

Azure HDInsight videos

Introduction to Azure HDInsight

More videos:

  • Tutorial - How to create Azure HDInsight Cluster| Load data and run queries on an Apache Spark cluster|Power BI

Category Popularity

0-100% (relative to Apache Beam and Azure HDInsight)
Big Data
62 62%
38% 38
Data Dashboard
54 54%
46% 46
Data Warehousing
37 37%
63% 63
Databases
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Beam and Azure HDInsight

Apache Beam Reviews

We have no reviews of Apache Beam yet.
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Azure HDInsight Reviews

16 Top Big Data Analytics Tools You Should Know About
Using Azure HDInsights, we can deploy Hadoop in the cloud without purchasing new hardware or paying other up-front costs.

Social recommendations and mentions

Based on our record, Apache Beam seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Apache Beam mentions (14)

  • Ask HN: Does (or why does) anyone use MapReduce anymore?
    The "streaming systems" book answers your question and more: https://www.oreilly.com/library/view/streaming-systems/9781491983867/. It gives you a history of how batch processing started with MapReduce, and how attempts at scaling by moving towards streaming systems gave us all the subsequent frameworks (Spark, Beam, etc.). As for the framework called MapReduce, it isn't used much, but its descendant... - Source: Hacker News / 3 months ago
  • How do Streaming Aggregation Pipelines work?
    Apache Beam is one of many tools that you can use. Source: 5 months ago
  • Real Time Data Infra Stack
    Apache Beam: Streaming framework which can be run on several runner such as Apache Flink and GCP Dataflow. - Source: dev.to / over 1 year ago
  • Google Cloud Reference
    Apache Beam: Batch/streaming data processing 🔗Link. - Source: dev.to / over 1 year ago
  • Composer out of resources - "INFO Task exited with return code Negsignal.SIGKILL"
    What you are looking for is Dataflow. It can be a bit tricky to wrap your head around at first, but I highly suggest leaning into this technology for most of your data engineering needs. It's based on the open source Apache Beam framework that originated at Google. We use an internal version of this system at Google for virtually all of our pipeline tasks, from a few GB, to Exabyte scale systems -- it can do it all. Source: over 1 year ago
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Azure HDInsight mentions (0)

We have not tracked any mentions of Azure HDInsight yet. Tracking of Azure HDInsight recommendations started around Mar 2021.

What are some alternatives?

When comparing Apache Beam and Azure HDInsight, you can also consider the following products

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Snowflake - Snowflake is the only data platform built for the cloud for all your data & all your users. Learn more about our purpose-built SQL cloud data warehouse.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.